Hey Product Hunt 👋 A question for anyone building AI agents: Have you ever had an agent fail in production and then spent hours trying to answer a simple question: "What exactly happened?" You have logs. You have traces. You have prompts. But reproducing the exact execution path is often harder than fixing the bug itself. Engineering teams can spend hours reconstructing incidents before they can even start solving them. That's time that could be spent shipping features, improving products, or serving customers. That's the problem that led us to Capsule. Capsule records prompts, tool calls, model outputs, memory, and execution state into a replayable artifact so you can step through an agent run exactly as it happened instead of piecing it together from logs. The goal is simple: spend less time investigating, reduce the cost of AI failures, and spend more time building. We're still early and would love feedback from developers: • How are you debugging agent failures today? • What's the most frustrating AI bug you've encountered? • What information do you wish you had during an incident? We'll be here all day answering questions. Thanks for checking out Capsule 🚀

Capsule

The flight recorder for AI agents

The flight recorder for AI agents